Multivariate Whole Brain‐Cognitive‐Clinical Severity Mapping in Alzheimer's Disease Continuum using Explainable AI

The sophisticated explainable AI method, DL-SHAP, showed robust performance in predicting the global cognition using a large MRI dataset, along with identifying the multivariate WB-cognition relationships. Additionally, it portrayed compelling evidence for predicting clinical severity and identified the dominant brain regions that significantly contributed to these predictions.